Search Results for Tag: data journalism

Speakers and delegates at the EBU Big Data Conference in Geneva, March 2018

Big data, i.e the concept of thoroughly analyzing large data sets to find patterns and gain novel insights, isn’t just for IT geeks and corporate consultants anymore. It has also become increasingly important in public service media (PSM). Which is why the EBU is giving the topic extra attention and launched a “Big Data Initiative”.

Q: Why is it currently so cumbersome to work with company data?
A: The European data landscape for company registries is highly fragmented and heterogenous. Getting data – especially across borders – is usually expensive, time consuming and error-prone.

Ready do to some effective data digging: The euBusinessGraph team

euBusinessGraph, an ambitious new EU project, is trying to change the status quo.

How do journalists verify content they find in Social Networks? What are current challenges and requirements? Which solutions are already deployed? In context of the REVEAL project we wanted to find out and conducted a number of interviews with journalists. This one is with Jeff Jarvis – author, journalist and professor at the City University of New York.

What comes to your mind when you think of Brazil? At the moment probably mainly ‘soccer’, right? Same over here. But we do not want to talk about last night’s game, the championship’s top players, live scores or the change of tactics. That will all be covered by our colleagues at DW Sports.

We focus on data driven journalism, visualizations, infographics and innovative storytelling on the web. Check out our collection of projects taking a creative approach at presenting soccer-related data:

Note: This is part of series of interviews and short profiles about data journalism related topics.

According to various sources ‘data scientist’ is the sexiest job of the 21st century. Especially R language skills attract the highest salaries ($100,000 – $125,000 in the United States) according to recently published salary surveys. There is undeniably a high demand for people who are able to analyze and interpret data for the sake of knowledge discovery.